AI Healthcare & Life Sciences Solutions Consultant

Dataiku
United States, New York; United States, RemotePosted 19 March 2026

Job Description

Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance. The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog , LinkedIn , X , and YouTube . We're looking for an AI Healthcare Life Science Solutions Consultant to join Dataiku’s Business Solutions department with a strong focus on supporting US business expansion. The role reports to the Health Life Science Sr. Director. Your mission will be undertaken in close partnership with Dataiku’s broader Business Solutions team, including the Life Sciences Solution AI Engineers, as well as with Dataiku’s core teams: Sales, Customer, Partnership, Product and RD. You will support three essential missions: (1) Feed our strategic vision towards Healthcare Life Sciences and how to further accelerate our growth in this industry. This will involve developing a deep understanding of Dataiku’s footprint, strong convictions as to analytics, ML and agent value for priority domains, current and target positioning in the ecosystem, and supporting the right plans to meet our ambitions. (2) Be a Dataiku SME on Healthcare Life Sciences , and act as a gap bridger between precise industry needs, AI and Dataiku as a product. You will directly support clients and prospects as a trusted expert and support the development of the right assets and engagement support to boost GTM effectiveness in Life Sciences. In practice, you will: Support sales and customer activities on Life Sciences: help customer dynamics understanding, act as a key spokesperson for prospects and customers, supporting executive engagement building. Articulate the specific value proposal of Dataiku for Life Sciences, and enable internal client facing teams in its articulating. Leverage the capitalization of internal knowledge and client experiences on Life Sciences (adoption stories, use-cases, …) and contribute to development of relevant material. Boost Dataiku’s visibility on Life Sciences as an industry, as well as engage in the execution of an impactful thought-leadership strategy. Drive high impact Customer Engagements with key decision makers in Healthcare Life Sciences accounts. (3) Contribute to the identification, scoping, and successful roll out of Dataiku Solutions aligned to Healthcare and Life Sciences needs, with the goal of maximizing Dataiku’s value delivery. Fuel the Solutions development pipeline through business experience, client workshops, market watch, partnership discussions. Partner with the Solutions taskforce (Product, RD, UX, Partnerships, Data Scientists …), jointly with the HLS Sr. Director, in ensuring prompt development of relevant projects, which could include: off-the-shelf solution design, customer-specific solutions, feature and application development, … Support general push on AI Solutions offering by contributing to relevant documents, to enablement of teams, to customer interactions, to GTM material, … Who you are: 10+ years experience in Healthcare and/or in Life Sciences, with a confirmed appetite for data, analytics and AI impact in the sector. You have worked within Healthcare and/or Life Science organizations, preferably in the US, and have owned the successful delivery of AI projects or built technology towards this objective. You have a preciseunderstanding of Healthcare Life Sciences value chain, including complex processes and regulations involved in health provider organizations like large hospital networks or spe ... (truncated, view full listing at source)
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